Machine Learning Engineer

Energy Innovation Corp; Norfolk (VA); Hybrid; USD 77,000 - 106,000; Full time

Benefits offered by this job

Health, dental, and vision plans

Annual bonuses tied to teamPerformance

Hybrid work model

Job summary

Retail Technologies in Norfolk, VA is seeking a Machine Learning Engineer to own the lifecycle of technology systems from prototype to production. This hybrid role blends hands-on model work with strategic planning responsibilities, offering a clear path to impact the company's AI initiatives.

You will collaborate across Norfolk teams, evaluate when to buy or build MLOps, and wire APIs to Strategic Planning consumers.

Qualifications

• Sharp written and verbal communication evidenced in delivery and collaboration.
• Comfort owning technology decisions in the Virginia market.
• Cross-functional ease working with engineers and marketers.
• Growth mindset that uses feedback as fuel.
• At least 3 years building expertise within the technology space.

Responsibilities

• Land Vector Databases performance wins measurable by VA retention numbers.
• Decide when to buy MLOps versus build it for Norfolk, VA stack.
• Own the full lifecycle of technology systems from prototype to production.
• Wire MLOps APIs to Strategic Planning consumers so data lands where Norfolk teams expect it.
• Pair-program tricky Data Mining edge cases with engineers across Norfolk, VA.

Skills

Communication skills

Cross-functional collaboration

Growth mindset

Team collaboration

Tools

Vector databases

MLOps tooling

APIs

Job description

Between the demo that wows and the system that survives sits the Machine Learning Engineer we're recruiting in Norfolk, and Retail Technologies pays $77,000 - $106,000 for the difference. Join Retail Technologies as a hybrid Machine Learning Engineer and take real ownership of Strategic Planning work while earning $77,000 - $106,000 and growing your craft.

Key Responsibilities

• Land Vector Databases performance wins Retail Technologies can measure in VA retention numbers
• Decide when to buy MLOps versus build it for Retail Technologies's Norfolk, VA stack
• Own the full lifecycle of technology systems from prototype to production
• Wire MLOps APIs to Strategic Planning consumers so data lands where Norfolk teams expect it
• Pair-program tricky Data Mining edge cases with engineers across Norfolk, VA

What You'll Bring

• Sharp written and verbal communication, tested under scrutiny
• Comfort owning technology decisions in a VA market
• Cross-functional ease, from Hypothesis Testing engineers to Initiative marketers
• A growth mindset that treats feedback as fuel, not threat
• At least 3 years building expertise within the technology space

The quietly-ambitious people at Retail Technologies have spent years proving that world-class Hypothesis Testing can absolutely come out of Norfolk. Autonomy here comes with a partner: ask for help the moment you're stuck on Hypothesis Testing.

We pair a $77,000 - $106,000 salary with health, dental, and vision plans, plus annual bonuses tied to team performance.

Current and accurate as of this visit, the hybrid opening stands ready.